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- Core Tech
Kubernetes Distributed Tracing Backend Deployment with Tempo
Tracing allows you to follow the flow of a request end-to-end within your applications, and provides valuable insight when troubleshooting. In this lab, you will set up and configure Tempo and OpenTelemetry to work within a Kubernetes infrastructure, ensuring two services can communicate and are able to accept tracing data.
Lab Info
Table of Contents
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Challenge
Install and configure Tempo
Using the Grafana Community Helm chart, create a values file for configuring Tempo. The file should leverage the existing Kubernetes Secret containing the connection information for SeaweedFS, and define
tempoas the backend bucket. Install Tempo, then add it as a Grafana data source. -
Challenge
Set up the OpenTelemetry Collector
Create manifests to configure the OpenTelemetry ConfigMap, service account, deployment, and service. Deploy the manifests to get OpenTelemetry up and running, then view the logs for the deployment to confirm that everything is ready.
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Challenge
Verify connectivity between Tempo and the OTEL Collector
Verify the expected endpoints for Tempo, then open a debugging shell on the OpenTelemetry pod and test that it can connect to the Tempo endpoint at
tempo, as well astempo.observability.svc.cluster.localat both ports4317and4318.
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